Artificial cognitive BP-CT ant routing algorithm

This paper analyses the primary features of computing intelligence in the circumstance of multi-agents modeling, and the artificial cognitive methods with computing intelligent agents, and the artificial cognitive features in reinforcement learning and the Q-routing algorithm which is a kind of reinforcement learning in the domain of intelligent network. At the same time, aiming at the problem in AntNet routing algorithm, this paper introduces BP-CT ant routing algorithm and simulates the algorithm on OMNeT++ software platform, then proves the availability of the algorithm. Considering the global planning and optimal control theory, BP-CT ant routing algorithm has some potential aspects of intelligent control, and shows good QoS performance.